Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric24
Categorical1

Alerts

water_supply is highly overall correlated with Total_Population and 16 other fieldsHigh correlation
Total_Population is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Female_Population is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Num_of_Business is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Business_above_100 is highly overall correlated with water_supply and 14 other fieldsHigh correlation
annual_household_income is highly overall correlated with water_supply and 15 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with water_supply and 16 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with benefits_vs_personal_expenseHigh correlation
personal_expense is highly overall correlated with water_supply and 15 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with water_supply and 15 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 15 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with water_supply and 16 other fieldsHigh correlation
Average_Temp is highly overall correlated with water_supply and 4 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Wind is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
complex_area is highly overall correlated with Households and 6 other fieldsHigh correlation
complex_area is highly imbalanced (78.2%)Imbalance
water_supply has unique valuesUnique
Total_Population has unique valuesUnique
Households has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Population has unique valuesUnique
Female_Population has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
Num_of_Business has unique valuesUnique
employment_ratio has unique valuesUnique
employment_insurance_ratio has unique valuesUnique
Monthly_Rainfall has 2 (1.4%) zerosZeros

Reproduction

Analysis started2023-08-29 04:55:54.885881
Analysis finished2023-08-29 04:56:36.542858
Duration41.66 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315919.89
Minimum269321.2
Maximum374070.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:36.608819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum269321.2
5-th percentile282588.11
Q1299132.35
median315432.08
Q3331146.34
95-th percentile353182.2
Maximum374070.52
Range104749.32
Interquartile range (IQR)32013.993

Descriptive statistics

Standard deviation22030.686
Coefficient of variation (CV)0.06973504
Kurtosis-0.32479523
Mean315919.89
Median Absolute Deviation (MAD)15903.083
Skewness0.2167867
Sum45492464
Variance4.8535113 × 108
MonotonicityNot monotonic
2023-08-29T13:56:36.704197image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
282265.7097 1
 
0.7%
273685.8929 1
 
0.7%
324328.6 1
 
0.7%
316179.1613 1
 
0.7%
314943.7333 1
 
0.7%
315225.6774 1
 
0.7%
322769.4516 1
 
0.7%
331187.4643 1
 
0.7%
324607.7742 1
 
0.7%
321636.1 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
269321.2 1
0.7%
269918.1935 1
0.7%
273685.8929 1
0.7%
274462.7 1
0.7%
280318.9355 1
0.7%
280385.6129 1
0.7%
282265.7097 1
0.7%
282349.0645 1
0.7%
283942.7 1
0.7%
284436.2069 1
0.7%
ValueCountFrequency (%)
374070.5161 1
0.7%
369244.0323 1
0.7%
367224.0645 1
0.7%
366982.4839 1
0.7%
360200.6452 1
0.7%
355320.0667 1
0.7%
354382.4516 1
0.7%
353659.8387 1
0.7%
350475.6 1
0.7%
350293.4839 1
0.7%

Total_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1015428.6
Minimum939497
Maximum1082420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:36.784948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum939497
5-th percentile941757.85
Q1971155.75
median1027891.5
Q31043967.8
95-th percentile1080633.6
Maximum1082420
Range142923
Interquartile range (IQR)72812

Descriptive statistics

Standard deviation44957.076
Coefficient of variation (CV)0.044273992
Kurtosis-1.2611641
Mean1015428.6
Median Absolute Deviation (MAD)37890
Skewness-0.17250346
Sum1.4622171 × 108
Variance2.0211387 × 109
MonotonicityNot monotonic
2023-08-29T13:56:36.862657image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
939497 1
 
0.7%
940639 1
 
0.7%
1041399 1
 
0.7%
1041706 1
 
0.7%
1042065 1
 
0.7%
1041983 1
 
0.7%
1041597 1
 
0.7%
1041430 1
 
0.7%
1041450 1
 
0.7%
1041751 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
939497 1
0.7%
939815 1
0.7%
940340 1
0.7%
940639 1
0.7%
940982 1
0.7%
941569 1
0.7%
941724 1
0.7%
941737 1
0.7%
941876 1
0.7%
947127 1
0.7%
ValueCountFrequency (%)
1082420 1
0.7%
1081175 1
0.7%
1081045 1
0.7%
1080896 1
0.7%
1080845 1
0.7%
1080787 1
0.7%
1080736 1
0.7%
1080656 1
0.7%
1080507 1
0.7%
1080240 1
0.7%

Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396092.57
Minimum353741
Maximum456852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:36.943163image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum353741
5-th percentile354243.9
Q1365907.5
median393271.5
Q3417726.5
95-th percentile452398.3
Maximum456852
Range103111
Interquartile range (IQR)51819

Descriptive statistics

Standard deviation31395.966
Coefficient of variation (CV)0.079264212
Kurtosis-1.022373
Mean396092.57
Median Absolute Deviation (MAD)26350
Skewness0.42283805
Sum57037330
Variance9.8570665 × 108
MonotonicityNot monotonic
2023-08-29T13:56:37.021910image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
353741 1
 
0.7%
354266 1
 
0.7%
407272 1
 
0.7%
407871 1
 
0.7%
408405 1
 
0.7%
408816 1
 
0.7%
409202 1
 
0.7%
409713 1
 
0.7%
410427 1
 
0.7%
411178 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
353741 1
0.7%
353878 1
0.7%
353953 1
0.7%
354003 1
0.7%
354157 1
0.7%
354182 1
0.7%
354192 1
0.7%
354240 1
0.7%
354266 1
0.7%
359412 1
0.7%
ValueCountFrequency (%)
456852 1
0.7%
456376 1
0.7%
455845 1
0.7%
455501 1
0.7%
454793 1
0.7%
454081 1
0.7%
453155 1
0.7%
452512 1
0.7%
451754 1
0.7%
451353 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5706455
Minimum2.3625879
Maximum2.659058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:37.097867image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.3625879
5-th percentile2.3887543
Q12.4995812
median2.6136945
Q32.6468063
95-th percentile2.6556947
Maximum2.659058
Range0.2964701
Interquartile range (IQR)0.14722508

Descriptive statistics

Standard deviation0.091987077
Coefficient of variation (CV)0.035783649
Kurtosis-0.6483381
Mean2.5706455
Median Absolute Deviation (MAD)0.040528371
Skewness-0.86526797
Sum370.17295
Variance0.0084616224
MonotonicityNot monotonic
2023-08-29T13:56:37.169812image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.655889478 1
 
0.7%
2.655177183 1
 
0.7%
2.557011039 1
 
0.7%
2.554008498 1
 
0.7%
2.551548096 1
 
0.7%
2.548782337 1
 
0.7%
2.545434773 1
 
0.7%
2.541852467 1
 
0.7%
2.537479259 1
 
0.7%
2.533576699 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
2.362587884 1
0.7%
2.365860606 1
0.7%
2.369752877 1
0.7%
2.372743419 1
0.7%
2.376676862 1
0.7%
2.380731632 1
0.7%
2.384409308 1
0.7%
2.388126724 1
0.7%
2.392310859 1
0.7%
2.3956544 1
0.7%
ValueCountFrequency (%)
2.659057988 1
0.7%
2.658864047 1
0.7%
2.658831933 1
0.7%
2.65843267 1
0.7%
2.658118717 1
0.7%
2.656680407 1
0.7%
2.655889478 1
0.7%
2.655759895 1
0.7%
2.655325203 1
0.7%
2.65532191 1
0.7%

Male_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean499365.48
Minimum463878
Maximum529886
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:37.246704image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum463878
5-th percentile465160.6
Q1478905.25
median505660
Q3512169.75
95-th percentile528922.05
Maximum529886
Range66008
Interquartile range (IQR)33264.5

Descriptive statistics

Standard deviation20630.833
Coefficient of variation (CV)0.041314096
Kurtosis-1.2565235
Mean499365.48
Median Absolute Deviation (MAD)17379.5
Skewness-0.19523728
Sum71908629
Variance4.2563128 × 108
MonotonicityNot monotonic
2023-08-29T13:56:37.321132image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
463878 1
 
0.7%
464518 1
 
0.7%
511328 1
 
0.7%
511397 1
 
0.7%
511644 1
 
0.7%
511564 1
 
0.7%
511344 1
 
0.7%
511236 1
 
0.7%
511114 1
 
0.7%
511210 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
463878 1
0.7%
464135 1
0.7%
464468 1
0.7%
464518 1
0.7%
464740 1
0.7%
465001 1
0.7%
465110 1
0.7%
465148 1
0.7%
465232 1
0.7%
468171 1
0.7%
ValueCountFrequency (%)
529886 1
0.7%
529378 1
0.7%
529227 1
0.7%
529135 1
0.7%
529062 1
0.7%
529030 1
0.7%
528972 1
0.7%
528924 1
0.7%
528911 1
0.7%
528683 1
0.7%

Female_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516063.08
Minimum475619
Maximum552534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:37.400212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum475619
5-th percentile476618.5
Q1492250.5
median522231.5
Q3531744
95-th percentile551612.75
Maximum552534
Range76915
Interquartile range (IQR)39493.5

Descriptive statistics

Standard deviation24330.202
Coefficient of variation (CV)0.047145791
Kurtosis-1.2643188
Mean516063.08
Median Absolute Deviation (MAD)20769.5
Skewness-0.15311696
Sum74313083
Variance5.9195873 × 108
MonotonicityNot monotonic
2023-08-29T13:56:37.476595image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
475619 1
 
0.7%
476121 1
 
0.7%
530071 1
 
0.7%
530309 1
 
0.7%
530421 1
 
0.7%
530419 1
 
0.7%
530253 1
 
0.7%
530194 1
 
0.7%
530336 1
 
0.7%
530541 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
475619 1
0.7%
475680 1
0.7%
475872 1
0.7%
476121 1
0.7%
476242 1
0.7%
476568 1
0.7%
476589 1
0.7%
476614 1
0.7%
476644 1
0.7%
478956 1
0.7%
ValueCountFrequency (%)
552534 1
0.7%
551924 1
0.7%
551910 1
0.7%
551876 1
0.7%
551797 1
0.7%
551674 1
0.7%
551626 1
0.7%
551618 1
0.7%
551583 1
0.7%
551557 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.96791081
Minimum0.95797801
Maximum0.97748227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:37.557058image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.95797801
5-th percentile0.95901087
Q10.96305575
median0.96815428
Q30.97292882
95-th percentile0.97618669
Maximum0.97748227
Range0.019504264
Interquartile range (IQR)0.009873063

Descriptive statistics

Standard deviation0.0057706381
Coefficient of variation (CV)0.0059619524
Kurtosis-1.2557715
Mean0.96791081
Median Absolute Deviation (MAD)0.0050090084
Skewness-0.035427414
Sum139.37916
Variance3.3300265 × 10-5
MonotonicityNot monotonic
2023-08-29T13:56:37.646865image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9753142747 1
 
0.7%
0.9756301444 1
 
0.7%
0.9646405859 1
 
0.7%
0.9643377729 1
 
0.7%
0.9645998179 1
 
0.7%
0.9644526308 1
 
0.7%
0.9643396643 1
 
0.7%
0.964243277 1
 
0.7%
0.9637550534 1
 
0.7%
0.9635636077 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.9579780103 1
0.7%
0.9583873914 1
0.7%
0.9583880493 1
0.7%
0.9584145643 1
0.7%
0.9585283117 1
0.7%
0.9587342139 1
0.7%
0.9589200537 1
0.7%
0.9590106672 1
0.7%
0.9590120252 1
0.7%
0.9590374638 1
0.7%
ValueCountFrequency (%)
0.9774822739 1
0.7%
0.9771368566 1
0.7%
0.977116371 1
0.7%
0.9770161692 1
0.7%
0.9769988457 1
0.7%
0.9769062873 1
0.7%
0.9764022298 1
0.7%
0.9762094691 1
0.7%
0.9760576027 1
0.7%
0.9760355726 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct56
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10972222
Minimum0.088
Maximum0.143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:37.728563image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.088
5-th percentile0.089
Q10.097
median0.107
Q30.12125
95-th percentile0.138
Maximum0.143
Range0.055
Interquartile range (IQR)0.02425

Descriptive statistics

Standard deviation0.015523699
Coefficient of variation (CV)0.14148182
Kurtosis-0.85092861
Mean0.10972222
Median Absolute Deviation (MAD)0.012
Skewness0.46486887
Sum15.8
Variance0.00024098524
MonotonicityIncreasing
2023-08-29T13:56:37.801045image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 7
 
4.9%
0.089 5
 
3.5%
0.109 5
 
3.5%
0.1 5
 
3.5%
0.107 5
 
3.5%
0.088 4
 
2.8%
0.092 4
 
2.8%
0.096 4
 
2.8%
0.099 4
 
2.8%
0.108 4
 
2.8%
Other values (46) 97
67.4%
ValueCountFrequency (%)
0.088 4
2.8%
0.089 5
3.5%
0.09 7
4.9%
0.091 3
2.1%
0.092 4
2.8%
0.093 2
 
1.4%
0.094 3
2.1%
0.095 3
2.1%
0.096 4
2.8%
0.097 3
2.1%
ValueCountFrequency (%)
0.143 1
0.7%
0.142 2
1.4%
0.141 1
0.7%
0.14 1
0.7%
0.139 2
1.4%
0.138 2
1.4%
0.137 2
1.4%
0.136 1
0.7%
0.135 2
1.4%
0.134 1
0.7%

Power_usage
Real number (ℝ)

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7685196 × 108
Minimum3.04589 × 108
Maximum4.8786754 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:37.881028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum3.04589 × 108
5-th percentile3.1534848 × 108
Q13.4053225 × 108
median3.6446368 × 108
Q34.0957901 × 108
95-th percentile4.6431077 × 108
Maximum4.8786754 × 108
Range1.8327854 × 108
Interquartile range (IQR)69046760

Descriptive statistics

Standard deviation47864036
Coefficient of variation (CV)0.12701018
Kurtosis-0.6459408
Mean3.7685196 × 108
Median Absolute Deviation (MAD)30944106
Skewness0.60766605
Sum5.4266682 × 1010
Variance2.2909659 × 1015
MonotonicityNot monotonic
2023-08-29T13:56:37.957369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
434436000 1
 
0.7%
418156000 1
 
0.7%
364968366 1
 
0.7%
314097171 1
 
0.7%
346236538 1
 
0.7%
437785971 1
 
0.7%
480671813 1
 
0.7%
483770076 1
 
0.7%
380422330 1
 
0.7%
355776413 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
304589000 1
0.7%
308346000 1
0.7%
309187000 1
0.7%
312903000 1
0.7%
313793000 1
0.7%
314097171 1
0.7%
314337588 1
0.7%
315139000 1
0.7%
316535542 1
0.7%
317743108 1
0.7%
ValueCountFrequency (%)
487867544 1
0.7%
487454492 1
0.7%
485633424 1
0.7%
483770076 1
0.7%
480671813 1
0.7%
465217457 1
0.7%
465118786 1
0.7%
464438843 1
0.7%
463585000 1
0.7%
460456000 1
0.7%

Num_of_Business
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33810.382
Minimum20326
Maximum48157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:38.036624image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum20326
5-th percentile22028.75
Q126963.75
median35171
Q340387.75
95-th percentile45790.25
Maximum48157
Range27831
Interquartile range (IQR)13424

Descriptive statistics

Standard deviation7638.1142
Coefficient of variation (CV)0.22591032
Kurtosis-1.1777393
Mean33810.382
Median Absolute Deviation (MAD)6295.5
Skewness-0.060329277
Sum4868695
Variance58340788
MonotonicityNot monotonic
2023-08-29T13:56:38.107851image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20326 1
 
0.7%
20685 1
 
0.7%
37695 1
 
0.7%
35903 1
 
0.7%
36169 1
 
0.7%
37316 1
 
0.7%
36557 1
 
0.7%
36940 1
 
0.7%
37644 1
 
0.7%
38742 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
20326 1
0.7%
20685 1
0.7%
20809 1
0.7%
21515 1
0.7%
21739 1
0.7%
21857 1
0.7%
21886 1
0.7%
22004 1
0.7%
22169 1
0.7%
22449 1
0.7%
ValueCountFrequency (%)
48157 1
0.7%
47172 1
0.7%
46416 1
0.7%
46323 1
0.7%
46218 1
0.7%
46076 1
0.7%
45904 1
0.7%
45839 1
0.7%
45514 1
0.7%
45178 1
0.7%

Business_above_100
Real number (ℝ)

Distinct62
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.625
Minimum131
Maximum217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:38.183702image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile148
Q1158
median174
Q3191.25
95-th percentile202.7
Maximum217
Range86
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation19.328545
Coefficient of variation (CV)0.11068601
Kurtosis-0.79779103
Mean174.625
Median Absolute Deviation (MAD)16.5
Skewness0.11506798
Sum25146
Variance373.59266
MonotonicityNot monotonic
2023-08-29T13:56:38.259855image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185 10
 
6.9%
194 8
 
5.6%
178 6
 
4.2%
162 6
 
4.2%
153 6
 
4.2%
197 5
 
3.5%
196 5
 
3.5%
155 5
 
3.5%
199 4
 
2.8%
156 4
 
2.8%
Other values (52) 85
59.0%
ValueCountFrequency (%)
131 1
0.7%
133 1
0.7%
138 1
0.7%
141 1
0.7%
144 1
0.7%
145 1
0.7%
146 1
0.7%
148 2
1.4%
149 1
0.7%
150 2
1.4%
ValueCountFrequency (%)
217 2
1.4%
215 1
 
0.7%
214 1
 
0.7%
213 1
 
0.7%
210 1
 
0.7%
209 1
 
0.7%
203 1
 
0.7%
201 2
1.4%
199 4
2.8%
198 2
1.4%

complex_area
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0.0
139 
100000.0
 
5

Length

Max length8
Median length3
Mean length3.1736111
Min length3

Characters and Unicode

Total characters457
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 139
96.5%
100000.0 5
 
3.5%

Length

2023-08-29T13:56:38.331384image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-29T13:56:38.403199image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 139
96.5%
100000.0 5
 
3.5%

Most occurring characters

ValueCountFrequency (%)
0 308
67.4%
. 144
31.5%
1 5
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
68.5%
Other Punctuation 144
31.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 308
98.4%
1 5
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 308
67.4%
. 144
31.5%
1 5
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 308
67.4%
. 144
31.5%
1 5
 
1.1%

annual_household_income
Real number (ℝ)

Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587.08333
Minimum512
Maximum691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:38.452259image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum512
5-th percentile512
Q1534.5
median577.5
Q3646
95-th percentile691
Maximum691
Range179
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation61.868064
Coefficient of variation (CV)0.10538208
Kurtosis-1.29905
Mean587.08333
Median Absolute Deviation (MAD)54
Skewness0.43879573
Sum84540
Variance3827.6573
MonotonicityNot monotonic
2023-08-29T13:56:38.508991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
670 24
16.7%
581 12
8.3%
512 12
8.3%
546 12
8.3%
579 12
8.3%
530 12
8.3%
516 12
8.3%
536 12
8.3%
576 12
8.3%
638 12
8.3%
ValueCountFrequency (%)
512 12
8.3%
516 12
8.3%
530 12
8.3%
536 12
8.3%
546 12
8.3%
576 12
8.3%
579 12
8.3%
581 12
8.3%
638 12
8.3%
670 24
16.7%
ValueCountFrequency (%)
691 12
8.3%
670 24
16.7%
638 12
8.3%
581 12
8.3%
579 12
8.3%
576 12
8.3%
546 12
8.3%
536 12
8.3%
530 12
8.3%
516 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12859.833
Minimum9408
Maximum14179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:38.567960image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum9408
5-th percentile9408
Q112565
median13378
Q313817.25
95-th percentile14179
Maximum14179
Range4771
Interquartile range (IQR)1252.25

Descriptive statistics

Standard deviation1359.7388
Coefficient of variation (CV)0.10573533
Kurtosis1.199877
Mean12859.833
Median Absolute Deviation (MAD)503
Skewness-1.4973094
Sum1851816
Variance1848889.5
MonotonicityNot monotonic
2023-08-29T13:56:38.626854image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
13401 12
8.3%
14179 12
8.3%
13797 12
8.3%
13878 12
8.3%
13884 12
8.3%
13496 12
8.3%
13355 12
8.3%
13000 12
8.3%
12566 12
8.3%
12562 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
9408 12
8.3%
10792 12
8.3%
12562 12
8.3%
12566 12
8.3%
13000 12
8.3%
13355 12
8.3%
13401 12
8.3%
13496 12
8.3%
13797 12
8.3%
13878 12
8.3%
ValueCountFrequency (%)
14179 12
8.3%
13884 12
8.3%
13878 12
8.3%
13797 12
8.3%
13496 12
8.3%
13401 12
8.3%
13355 12
8.3%
13000 12
8.3%
12566 12
8.3%
12562 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.90861401
Minimum0.8366213
Maximum1.0127378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:38.686295image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.8366213
5-th percentile0.8366213
Q10.87646955
median0.91548046
Q30.9284113
95-th percentile1.0127378
Maximum1.0127378
Range0.17611653
Interquartile range (IQR)0.051941752

Descriptive statistics

Standard deviation0.04763029
Coefficient of variation (CV)0.052420819
Kurtosis-0.14637213
Mean0.90861401
Median Absolute Deviation (MAD)0.034784494
Skewness0.44312892
Sum130.84042
Variance0.0022686446
MonotonicityNot monotonic
2023-08-29T13:56:38.746231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.836621301 12
8.3%
0.9150693772 12
8.3%
0.8782304265 12
8.3%
0.883161512 12
8.3%
0.9158915496 12
8.3%
0.9241936588 12
8.3%
0.9259516051 12
8.3%
0.935790383 12
8.3%
0.8711869107 12
8.3%
1.012737827 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.836621301 12
8.3%
0.8449034576 12
8.3%
0.8711869107 12
8.3%
0.8782304265 12
8.3%
0.883161512 12
8.3%
0.9150693772 12
8.3%
0.9158915496 12
8.3%
0.9241936588 12
8.3%
0.9259516051 12
8.3%
0.935790383 12
8.3%
ValueCountFrequency (%)
1.012737827 12
8.3%
0.9596300907 12
8.3%
0.935790383 12
8.3%
0.9259516051 12
8.3%
0.9241936588 12
8.3%
0.9158915496 12
8.3%
0.9150693772 12
8.3%
0.883161512 12
8.3%
0.8782304265 12
8.3%
0.8711869107 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5680171 × 108
Minimum1.0437156 × 108
Maximum2.1831666 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:38.805735image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0437156 × 108
5-th percentile1.0437156 × 108
Q11.2452801 × 108
median1.4548507 × 108
Q31.968638 × 108
95-th percentile2.1831666 × 108
Maximum2.1831666 × 108
Range1.1394511 × 108
Interquartile range (IQR)72335795

Descriptive statistics

Standard deviation40434734
Coefficient of variation (CV)0.25787177
Kurtosis-1.351245
Mean1.5680171 × 108
Median Absolute Deviation (MAD)32422368
Skewness0.37133344
Sum2.2579446 × 1010
Variance1.6349677 × 1015
MonotonicityIncreasing
2023-08-29T13:56:38.865638image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
104371555 12
8.3%
110568031 12
8.3%
115557367 12
8.3%
127518223 12
8.3%
137282705 12
8.3%
144243013 12
8.3%
146727122 12
8.3%
158512126 12
8.3%
193110349 12
8.3%
208124170 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
104371555 12
8.3%
110568031 12
8.3%
115557367 12
8.3%
127518223 12
8.3%
137282705 12
8.3%
144243013 12
8.3%
146727122 12
8.3%
158512126 12
8.3%
193110349 12
8.3%
208124170 12
8.3%
ValueCountFrequency (%)
218316665 12
8.3%
217289193 12
8.3%
208124170 12
8.3%
193110349 12
8.3%
158512126 12
8.3%
146727122 12
8.3%
144243013 12
8.3%
137282705 12
8.3%
127518223 12
8.3%
115557367 12
8.3%
Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26008333
Minimum0.191
Maximum0.304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:38.927567image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.191
5-th percentile0.191
Q10.227
median0.2655
Q30.2915
95-th percentile0.304
Maximum0.304
Range0.113
Interquartile range (IQR)0.0645

Descriptive statistics

Standard deviation0.034707469
Coefficient of variation (CV)0.13344749
Kurtosis-0.90896959
Mean0.26008333
Median Absolute Deviation (MAD)0.03
Skewness-0.52109127
Sum37.452
Variance0.0012046084
MonotonicityNot monotonic
2023-08-29T13:56:38.983279image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.227 24
16.7%
0.191 12
8.3%
0.22 12
8.3%
0.261 12
8.3%
0.278 12
8.3%
0.266 12
8.3%
0.265 12
8.3%
0.291 12
8.3%
0.298 12
8.3%
0.304 12
8.3%
ValueCountFrequency (%)
0.191 12
8.3%
0.22 12
8.3%
0.227 24
16.7%
0.261 12
8.3%
0.265 12
8.3%
0.266 12
8.3%
0.278 12
8.3%
0.291 12
8.3%
0.293 12
8.3%
0.298 12
8.3%
ValueCountFrequency (%)
0.304 12
8.3%
0.298 12
8.3%
0.293 12
8.3%
0.291 12
8.3%
0.278 12
8.3%
0.266 12
8.3%
0.265 12
8.3%
0.261 12
8.3%
0.227 24
16.7%
0.22 12
8.3%

employment_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136907.33
Minimum99001
Maximum173831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:39.051969image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum99001
5-th percentile103343.05
Q1115658.5
median138847
Q3156497.75
95-th percentile170762.3
Maximum173831
Range74830
Interquartile range (IQR)40839.25

Descriptive statistics

Standard deviation22579.385
Coefficient of variation (CV)0.16492458
Kurtosis-1.2958619
Mean136907.33
Median Absolute Deviation (MAD)19731
Skewness-0.041142408
Sum19714656
Variance5.0982862 × 108
MonotonicityNot monotonic
2023-08-29T13:56:39.126945image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99001 1
 
0.7%
99893 1
 
0.7%
149104 1
 
0.7%
149227 1
 
0.7%
150043 1
 
0.7%
150264 1
 
0.7%
149705 1
 
0.7%
150825 1
 
0.7%
151472 1
 
0.7%
152681 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
99001 1
0.7%
99678 1
0.7%
99893 1
0.7%
101594 1
0.7%
102073 1
0.7%
102458 1
0.7%
102895 1
0.7%
103279 1
0.7%
103706 1
0.7%
103738 1
0.7%
ValueCountFrequency (%)
173831 1
0.7%
173486 1
0.7%
173384 1
0.7%
172771 1
0.7%
171873 1
0.7%
171845 1
0.7%
171076 1
0.7%
170783 1
0.7%
170645 1
0.7%
170514 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13411427
Minimum0.1053766
Maximum0.16099607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:39.205797image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.1053766
5-th percentile0.1095024
Q10.11948189
median0.13549718
Q30.1499272
95-th percentile0.15846904
Maximum0.16099607
Range0.055619471
Interquartile range (IQR)0.030445309

Descriptive statistics

Standard deviation0.016443651
Coefficient of variation (CV)0.12260926
Kurtosis-1.2879302
Mean0.13411427
Median Absolute Deviation (MAD)0.014929848
Skewness-0.077814725
Sum19.312455
Variance0.00027039367
MonotonicityNot monotonic
2023-08-29T13:56:39.280519image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1053766005 1
 
0.7%
0.1061969576 1
 
0.7%
0.1431766307 1
 
0.7%
0.1432525108 1
 
0.7%
0.1439862197 1
 
0.7%
0.1442096464 1
 
0.7%
0.1437264124 1
 
0.7%
0.1448249042 1
 
0.7%
0.1454433722 1
 
0.7%
0.1465618943 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.1053766005 1
0.7%
0.1059297627 1
0.7%
0.1061969576 1
0.7%
0.1078793761 1
0.7%
0.1083895069 1
0.7%
0.1084029927 1
0.7%
0.1087807737 1
0.7%
0.1094843134 1
0.7%
0.1096049179 1
0.7%
0.1096421071 1
0.7%
ValueCountFrequency (%)
0.1609960712 1
0.7%
0.1606369742 1
0.7%
0.1605994964 1
0.7%
0.15985666 1
0.7%
0.1589878312 1
0.7%
0.158983843 1
0.7%
0.1586371084 1
0.7%
0.1584936808 1
0.7%
0.1583293769 1
0.7%
0.1582908723 1
0.7%

Average_Temp
Real number (ℝ)

Distinct115
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.974306
Minimum-7.2
Maximum28.8
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)16.0%
Memory size6.3 KiB
2023-08-29T13:56:39.360618image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-7.2
5-th percentile-2.74
Q13.375
median14.15
Q322.6
95-th percentile26.84
Maximum28.8
Range36
Interquartile range (IQR)19.225

Descriptive statistics

Standard deviation10.269009
Coefficient of variation (CV)0.79148817
Kurtosis-1.3458001
Mean12.974306
Median Absolute Deviation (MAD)8.95
Skewness-0.16407331
Sum1868.3
Variance105.45255
MonotonicityNot monotonic
2023-08-29T13:56:40.044910image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.8 3
 
2.1%
21.8 3
 
2.1%
-0.9 3
 
2.1%
23.1 3
 
2.1%
25.9 3
 
2.1%
14.2 2
 
1.4%
1.4 2
 
1.4%
24.1 2
 
1.4%
22.1 2
 
1.4%
15.6 2
 
1.4%
Other values (105) 119
82.6%
ValueCountFrequency (%)
-7.2 1
0.7%
-4.5 1
0.7%
-4.1 1
0.7%
-4 1
0.7%
-3.4 1
0.7%
-3.2 1
0.7%
-2.9 1
0.7%
-2.8 1
0.7%
-2.4 1
0.7%
-2 1
0.7%
ValueCountFrequency (%)
28.8 1
0.7%
28.1 1
0.7%
28 1
0.7%
27.8 1
0.7%
27.7 1
0.7%
27.2 1
0.7%
27.1 1
0.7%
26.9 1
0.7%
26.5 2
1.4%
26.3 1
0.7%

Monthly_Rainfall
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct137
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.91528
Minimum0
Maximum1131
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:40.134890image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.115
Q125.375
median60.8
Q3130.475
95-th percentile442.24
Maximum1131
Range1131
Interquartile range (IQR)105.1

Descriptive statistics

Standard deviation159.6245
Coefficient of variation (CV)1.439157
Kurtosis14.428819
Mean110.91528
Median Absolute Deviation (MAD)44.25
Skewness3.3877616
Sum15971.8
Variance25479.98
MonotonicityNot monotonic
2023-08-29T13:56:40.219936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.1 2
 
1.4%
104.6 2
 
1.4%
0 2
 
1.4%
7.9 2
 
1.4%
25.6 2
 
1.4%
7.1 2
 
1.4%
16.1 2
 
1.4%
29.3 1
 
0.7%
26.5 1
 
0.7%
40.7 1
 
0.7%
Other values (127) 127
88.2%
ValueCountFrequency (%)
0 2
1.4%
0.8 1
0.7%
1 1
0.7%
4.6 1
0.7%
6.7 1
0.7%
7.1 2
1.4%
7.2 1
0.7%
7.9 2
1.4%
8.2 1
0.7%
8.5 1
0.7%
ValueCountFrequency (%)
1131 1
0.7%
676.2 1
0.7%
675.7 1
0.7%
671.5 1
0.7%
621 1
0.7%
598.7 1
0.7%
464.9 1
0.7%
448.9 1
0.7%
404.5 1
0.7%
358.2 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.60208333
Minimum0.43
Maximum0.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:40.299275image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.43
5-th percentile0.4715
Q10.54
median0.59
Q30.65
95-th percentile0.74
Maximum0.85
Range0.42
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.084868265
Coefficient of variation (CV)0.14095767
Kurtosis-0.24595549
Mean0.60208333
Median Absolute Deviation (MAD)0.05
Skewness0.45355222
Sum86.7
Variance0.0072026224
MonotonicityNot monotonic
2023-08-29T13:56:40.365258image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.54 10
 
6.9%
0.56 10
 
6.9%
0.58 9
 
6.2%
0.61 8
 
5.6%
0.59 8
 
5.6%
0.55 7
 
4.9%
0.74 6
 
4.2%
0.63 6
 
4.2%
0.6 6
 
4.2%
0.57 6
 
4.2%
Other values (24) 68
47.2%
ValueCountFrequency (%)
0.43 1
 
0.7%
0.45 2
 
1.4%
0.46 3
2.1%
0.47 2
 
1.4%
0.48 3
2.1%
0.49 2
 
1.4%
0.5 2
 
1.4%
0.51 5
3.5%
0.52 5
3.5%
0.53 2
 
1.4%
ValueCountFrequency (%)
0.85 1
 
0.7%
0.79 2
 
1.4%
0.78 1
 
0.7%
0.77 3
2.1%
0.74 6
4.2%
0.73 3
2.1%
0.72 1
 
0.7%
0.71 5
3.5%
0.7 2
 
1.4%
0.69 4
2.8%

Ground_Temp
Real number (ℝ)

Distinct118
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.661111
Minimum-4.7
Maximum31.9
Zeros1
Zeros (%)0.7%
Negative19
Negative (%)13.2%
Memory size6.3 KiB
2023-08-29T13:56:40.439222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-4.7
5-th percentile-1.385
Q14.525
median15.8
Q325.125
95-th percentile28.87
Maximum31.9
Range36.6
Interquartile range (IQR)20.6

Descriptive statistics

Standard deviation11.070285
Coefficient of variation (CV)0.75507816
Kurtosis-1.4584085
Mean14.661111
Median Absolute Deviation (MAD)10.05
Skewness-0.12499414
Sum2111.2
Variance122.5512
MonotonicityNot monotonic
2023-08-29T13:56:40.520974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.3 4
 
2.8%
28.2 3
 
2.1%
1.6 3
 
2.1%
-0.4 3
 
2.1%
1 2
 
1.4%
8.1 2
 
1.4%
-0.7 2
 
1.4%
29.7 2
 
1.4%
25.1 2
 
1.4%
26.5 2
 
1.4%
Other values (108) 119
82.6%
ValueCountFrequency (%)
-4.7 1
0.7%
-2.8 1
0.7%
-2.3 1
0.7%
-2 2
1.4%
-1.9 1
0.7%
-1.5 1
0.7%
-1.4 1
0.7%
-1.3 1
0.7%
-1.2 1
0.7%
-1.1 1
0.7%
ValueCountFrequency (%)
31.9 1
0.7%
31.8 1
0.7%
31.3 1
0.7%
29.7 2
1.4%
29.5 1
0.7%
29.2 1
0.7%
28.9 1
0.7%
28.7 1
0.7%
28.6 1
0.7%
28.4 1
0.7%

Average_Wind
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4111111
Minimum1.4
Maximum3.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:40.597425image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.7
Q12.1
median2.4
Q32.7
95-th percentile3.1
Maximum3.5
Range2.1
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.42444717
Coefficient of variation (CV)0.176038
Kurtosis-0.033290115
Mean2.4111111
Median Absolute Deviation (MAD)0.3
Skewness0.18502206
Sum347.2
Variance0.1801554
MonotonicityNot monotonic
2023-08-29T13:56:40.665359image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2.4 20
13.9%
2.1 17
11.8%
2.3 14
9.7%
2.2 11
 
7.6%
2.5 10
 
6.9%
2.8 10
 
6.9%
2.7 9
 
6.2%
2.6 8
 
5.6%
2.9 7
 
4.9%
3 6
 
4.2%
Other values (11) 32
22.2%
ValueCountFrequency (%)
1.4 1
 
0.7%
1.5 2
 
1.4%
1.6 2
 
1.4%
1.7 4
 
2.8%
1.8 5
 
3.5%
1.9 4
 
2.8%
2 5
 
3.5%
2.1 17
11.8%
2.2 11
7.6%
2.3 14
9.7%
ValueCountFrequency (%)
3.5 1
 
0.7%
3.4 4
 
2.8%
3.2 2
 
1.4%
3.1 2
 
1.4%
3 6
4.2%
2.9 7
4.9%
2.8 10
6.9%
2.7 9
6.2%
2.6 8
5.6%
2.5 10
6.9%

Average_Pressure
Real number (ℝ)

Distinct105
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1006.0812
Minimum995.3
Maximum1016.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-29T13:56:40.741118image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum995.3
5-th percentile996.715
Q1999.475
median1007.1
Q31012.225
95-th percentile1015.07
Maximum1016.8
Range21.5
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation6.5182795
Coefficient of variation (CV)0.0064788798
Kurtosis-1.4232997
Mean1006.0812
Median Absolute Deviation (MAD)5.85
Skewness-0.0990811
Sum144875.7
Variance42.487968
MonotonicityNot monotonic
2023-08-29T13:56:40.823684image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010.7 6
 
4.2%
998.6 4
 
2.8%
1003.3 3
 
2.1%
996.9 3
 
2.1%
997.7 3
 
2.1%
996 3
 
2.1%
1009.1 2
 
1.4%
1002.6 2
 
1.4%
998.9 2
 
1.4%
996.8 2
 
1.4%
Other values (95) 114
79.2%
ValueCountFrequency (%)
995.3 1
 
0.7%
996 3
2.1%
996.2 2
1.4%
996.4 1
 
0.7%
996.7 1
 
0.7%
996.8 2
1.4%
996.9 3
2.1%
997.2 2
1.4%
997.3 1
 
0.7%
997.4 1
 
0.7%
ValueCountFrequency (%)
1016.8 1
0.7%
1016.7 1
0.7%
1016.1 1
0.7%
1015.9 1
0.7%
1015.4 1
0.7%
1015.3 1
0.7%
1015.1 2
1.4%
1014.9 1
0.7%
1014.8 1
0.7%
1014.7 1
0.7%

Interactions

2023-08-29T13:56:34.631322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:55.371685image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:57.316671image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:58.930007image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:00.578934image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:02.187726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:04.164893image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:05.916708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:07.573963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:09.065922image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:11.120592image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:12.720350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:14.290962image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:15.956269image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:18.052476image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:19.700533image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.308787image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:22.865885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.502379image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:26.165493image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:28.332089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:29.916450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:31.536081image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:33.145889image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:34.688077image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:55.473648image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:57.378786image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:58.987413image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:00.643206image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:02.248672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:04.225348image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:05.979239image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:07.631063image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:09.536775image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:11.188271image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:12.778191image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:14.353122image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:16.014619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:18.116388image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:19.761376image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.370986image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:22.937164image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.565957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:26.233006image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:28.394757image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:29.975918image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:31.610733image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:33.210939image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:34.750925image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:55.559163image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:57.454805image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:59.053527image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:00.712362image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:02.317989image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:04.295307image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:06.049518image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:07.697320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:09.605760image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:11.256160image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:12.849345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:14.424463image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:16.081403image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:18.187809image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:19.829803image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.440857image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:23.009864image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.634863image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:26.308689image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:28.465843image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:30.053673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:31.691302image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:33.273009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:34.808417image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:55.618561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:57.519711image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:59.115308image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:00.776378image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:02.379908image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:04.359114image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:06.114431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:07.759258image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:09.670642image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:11.316297image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:12.918802image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:14.485680image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:16.146960image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:18.250726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:19.901073image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.501992image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:23.072678image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.699010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:26.376836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:28.528009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:30.130299image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-08-29T13:56:19.435498image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.041296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:22.625442image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.217067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:25.898839image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:27.545107image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:29.668195image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:31.238580image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:32.892846image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:34.407322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:36.001976image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:56.778075image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:58.729732image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:00.375176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:01.999209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:03.975141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:05.705112image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:07.367824image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:08.878359image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:10.921198image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:12.527617image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:14.099240image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:15.760482image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:17.364212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:19.499881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.105148image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:22.685221image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.290249image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:25.962883image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:27.610566image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:29.730779image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:31.302190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:32.952775image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:34.462060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:36.070608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:56.850775image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:58.803607image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:00.443707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:02.065043image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:04.043019image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:05.775728image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:07.439044image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:08.944431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:10.990110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:12.605943image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:14.163538image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:15.828094image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:17.447841image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:19.572169image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.174301image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:22.748755image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.361930image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:26.036692image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:27.677509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:29.795248image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:31.382263image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:33.017948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:34.521877image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:36.128991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:56.920970image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:55:58.865254image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:00.511668image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:02.126235image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:04.102573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:05.840089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:07.502215image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:09.005328image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:11.058068image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:12.662473image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:14.231480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:15.892702image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:17.991250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:19.634986image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:21.247188image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:22.809154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:24.439972image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:26.102007image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:27.737738image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:29.855758image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:31.467525image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:33.078350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-29T13:56:34.574405image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-08-29T13:56:40.913987image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100annual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressurecomplex_area
water_supply1.0000.8200.816-0.7830.8180.820-0.8250.8220.0530.8230.5890.614-0.7370.2720.8100.7710.8240.8290.5080.3680.3940.498-0.590-0.4080.322
Total_Population0.8201.0000.998-0.9620.9991.000-0.9940.9980.2290.9920.6250.656-0.8620.3940.9950.9330.9960.9940.0730.0340.0950.064-0.5560.0240.343
Households0.8160.9981.000-0.9650.9960.998-0.9950.9990.2300.9930.6250.655-0.8600.3930.9950.9370.9980.9960.0660.0280.0960.057-0.5650.0330.522
Population_per_Households-0.783-0.962-0.9651.000-0.960-0.9620.949-0.964-0.232-0.958-0.665-0.6240.856-0.377-0.959-0.926-0.962-0.959-0.0390.015-0.083-0.0280.565-0.0530.743
Male_Population0.8180.9990.996-0.9601.0000.998-0.9920.9960.2260.9910.6260.651-0.8610.4040.9940.9290.9950.9920.0760.0340.0950.068-0.5490.0210.343
Female_Population0.8201.0000.998-0.9620.9981.000-0.9950.9980.2290.9920.6260.657-0.8630.3910.9960.9340.9970.9950.0740.0340.0930.065-0.5570.0230.357
Male_Female_Ratio-0.825-0.994-0.9950.949-0.992-0.9951.000-0.995-0.230-0.990-0.633-0.6780.875-0.373-0.992-0.927-0.995-0.994-0.086-0.054-0.122-0.0760.575-0.0150.498
Population_aging_Ratio0.8220.9980.999-0.9640.9960.998-0.9951.0000.2260.9930.6290.662-0.8660.3880.9960.9350.9990.9970.0750.0320.0990.066-0.5620.0230.693
Power_usage0.0530.2290.230-0.2320.2260.229-0.2300.2261.0000.2090.0980.202-0.2460.0340.2560.2240.2140.208-0.422-0.262-0.167-0.445-0.0670.4310.098
Num_of_Business0.8230.9920.993-0.9580.9910.992-0.9900.9930.2091.0000.6410.661-0.8610.3980.9880.9270.9930.9930.0850.0430.1130.078-0.5670.0140.693
Business_above_1000.5890.6250.625-0.6650.6260.626-0.6330.6290.0980.6411.0000.648-0.7570.0590.6210.4750.6300.6340.1000.1230.1270.092-0.584-0.0320.314
annual_household_income0.6140.6560.655-0.6240.6510.657-0.6780.6620.2020.6610.6481.000-0.844-0.0880.6620.5370.6580.6590.0210.1120.110-0.000-0.4550.0000.603
High_School_Graduate_num-0.737-0.862-0.8600.856-0.861-0.8630.875-0.866-0.246-0.861-0.757-0.8441.000-0.175-0.867-0.778-0.863-0.862-0.040-0.071-0.079-0.0280.575-0.0190.603
High_School_Graduate_ratio0.2720.3940.393-0.3770.4040.391-0.3730.3880.0340.3980.059-0.088-0.1751.0000.3920.5150.3970.4000.029-0.130-0.1260.048-0.1850.0170.373
personal_expense0.8100.9950.995-0.9590.9940.996-0.9920.9960.2560.9880.6210.662-0.8670.3921.0000.9390.9930.9910.0520.0190.0630.047-0.5390.0290.271
benefits_vs_personal_expense0.7710.9330.937-0.9260.9290.934-0.9270.9350.2240.9270.4750.537-0.7780.5150.9391.0000.9360.9350.0530.0090.0540.049-0.5060.0320.258
employment_ratio0.8240.9960.998-0.9620.9950.997-0.9950.9990.2140.9930.6300.658-0.8630.3970.9930.9361.0000.9990.0840.0450.1100.074-0.5660.0190.455
employment_insurance_ratio0.8290.9940.996-0.9590.9920.995-0.9940.9970.2080.9930.6340.659-0.8620.4000.9910.9350.9991.0000.0960.0540.1200.085-0.5740.0100.522
Average_Temp0.5080.0730.066-0.0390.0760.074-0.0860.075-0.4220.0850.1000.021-0.0400.0290.0520.0530.0840.0961.0000.7320.6850.991-0.191-0.9090.000
Monthly_Rainfall0.3680.0340.0280.0150.0340.034-0.0540.032-0.2620.0430.1230.112-0.071-0.1300.0190.0090.0450.0540.7321.0000.7160.703-0.109-0.7070.000
Average_Relative_Humadity0.3940.0950.096-0.0830.0950.093-0.1220.099-0.1670.1130.1270.110-0.079-0.1260.0630.0540.1100.1200.6850.7161.0000.637-0.210-0.5630.128
Ground_Temp0.4980.0640.057-0.0280.0680.065-0.0760.066-0.4450.0780.092-0.000-0.0280.0480.0470.0490.0740.0850.9910.7030.6371.000-0.167-0.9220.000
Average_Wind-0.590-0.556-0.5650.565-0.549-0.5570.575-0.562-0.067-0.567-0.584-0.4550.575-0.185-0.539-0.506-0.566-0.574-0.191-0.109-0.210-0.1671.0000.0010.000
Average_Pressure-0.4080.0240.033-0.0530.0210.023-0.0150.0230.4310.014-0.0320.000-0.0190.0170.0290.0320.0190.010-0.909-0.707-0.563-0.9220.0011.0000.000
complex_area0.3220.3430.5220.7430.3430.3570.4980.6930.0980.6930.3140.6030.6030.3730.2710.2580.4550.5220.0000.0000.1280.0000.0000.0001.000

Missing values

2023-08-29T13:56:36.245597image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-29T13:56:36.454991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-01282265.709677939497.0353741.02.655889463878.0475619.00.9753140.088434436000.020326.0169.00.0581.013401.00.836621104371555.00.19199001.00.105377-4.529.30.65-1.22.31013.6
2010-02-01273685.892857940639.0354266.02.655177464518.0476121.00.9756300.088418156000.020685.0169.00.0581.013401.00.836621104371555.00.19199893.00.1061971.455.30.591.42.41010.7
2010-03-01269918.193548940982.0354003.02.658119464740.0476242.00.9758480.088346653000.020809.0166.00.0581.013401.00.836621104371555.00.19199678.00.1059304.382.50.595.02.91009.6
2010-04-01274462.700000941737.0354192.02.658832465148.0476589.00.9759940.088356701000.021857.0178.00.0581.013401.00.836621104371555.00.191101594.00.1078799.562.80.5410.82.91007.4
2010-05-01288537.806452941724.0354157.02.659058465110.0476614.00.9758630.089313793000.021739.0177.00.0581.013401.00.836621104371555.00.191102073.00.10839017.2124.00.6218.72.61000.6
2010-06-01310371.000000941876.0354240.02.658864465232.0476644.00.9760580.089315139000.022516.0186.00.0581.013401.00.836621104371555.00.191102458.00.10878123.4127.60.6226.12.1999.5
2010-07-01315638.483871941569.0354182.02.658433465001.0476568.00.9757290.089340458000.021886.0174.00.0581.013401.00.836621104371555.00.191103738.00.11017625.8239.20.7427.62.5997.7
2010-08-01314426.354839940340.0353953.02.656680464468.0475872.00.9760360.089376816000.022449.0185.00.0581.013401.00.836621104371555.00.191103706.00.11028626.5598.70.7828.32.41000.3
2010-09-01297330.533333939815.0353878.02.655760464135.0475680.00.9757290.089365968000.022789.0195.00.0581.013401.00.836621104371555.00.191102895.00.10948421.8671.50.7223.72.31003.4
2010-10-01287926.967742947127.0359412.02.635213468171.0478956.00.9774820.090309187000.023362.0196.00.0581.013401.00.836621104371555.00.191103845.00.10964214.525.60.6115.92.21008.9
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-01330834.7096771080845.0451169.02.395654529227.0551618.00.9594090.137379488323.044746.0197.00.0691.09408.00.844903218316665.00.293168208.00.1556269.0110.90.639.72.41009.2
2021-04-01335582.0000001080736.0451754.02.392311529062.0551674.00.9590120.138359888157.045178.0196.00.0691.09408.00.844903218316665.00.293169749.00.15706814.2124.10.5415.72.61007.9
2021-05-01337318.5483871080656.0452512.02.388127529030.0551626.00.9590370.138338334499.047172.0199.00.0691.09408.00.844903218316665.00.293170085.00.15739117.1183.10.6818.82.4998.9
2021-06-01347483.3333331080507.0453155.02.384409528924.0551583.00.9589200.139360297709.048157.0203.00.0691.09408.00.844903218316665.00.293171076.00.15832922.8104.60.7325.22.2997.7
2021-07-01360200.6451611081045.0454081.02.380732529135.0551910.00.9587340.139424095279.046218.0194.00.0691.09408.00.844903218316665.00.293171873.00.15898828.1168.30.7129.72.0998.1
2021-08-01354382.4516131080896.0454793.02.376677528972.0551924.00.9584150.140487867544.046416.0196.0100000.0691.09408.00.844903218316665.00.293171845.00.15898425.9211.20.7428.22.1998.6
2021-09-01343537.8000001080787.0455501.02.372743528911.0551876.00.9583870.141401433572.045514.0194.0100000.0691.09408.00.844903218316665.00.293172771.00.15985722.6131.00.7124.62.31003.4
2021-10-01340126.8064521080240.0455845.02.369753528683.0551557.00.9585280.142358286760.045839.0196.0100000.0691.09408.00.844903218316665.00.293173486.00.16059915.657.00.7016.72.11011.0
2021-11-01335109.3000001079722.0456376.02.365861528390.0551332.00.9583880.142372991744.046076.0197.0100000.0691.09408.00.844903218316665.00.293173831.00.1609968.262.40.687.92.11009.1
2021-12-01333891.9677421079353.0456852.02.362588528094.0551259.00.9579780.143444563909.045904.0201.0100000.0691.09408.00.844903218316665.00.293173384.00.1606370.67.90.620.82.31014.4